Verus Research is searching for a Machine Learning Engineer to perform research & development, conception, and implementation of advanced concepts in artificial intelligence, machine learning, autonomous systems, and mobile robotics. The ideal candidate should have experience developing and implementing machine learning algorithms with a focus on some combination of generative methods, data fusion, classification, verification and validation, optimization, computer vision, and/or reinforcement learning.
The primary role for the Machine Learning Engineer will be to aid in the conception and development of machine learning algorithms and training pipelines supporting data-driven outcomes relevant to automated, intelligent, autonomous systems. This work will require the ability to work both independently and within a team. A successful team member will be able to work on diverse application areas with an initial focus on advancing state of the art in spacecraft autonomy.
The ideal candidate for the* Machine Learning Engineer* position will possess strong analytical skills used to solve challenging problems in a fast-paced environment. In addition, they will possess the following to be successful in this role:
- US Citizen
- Advanced degree in computer science, mathematics, statistics, aerospace engineering, electrical engineering, or related fields
- 3+ years of experience working on machine learning problems
- Strong background in stochastic processes, statistical inference, optimal control theory
- Knowledge of deep learning architectures such as CNNs, RNNs, and NLP, and time series analysis
- Demonstrated experience working on deep learning pipelines including familiarity with data processing, model selection, training, validation, and testing
- Proficient in Python, R and C++ and experience with PyTorch, TensorFlow, or other machine learning frameworks
Ability to communicate technical concepts clearly and concisely, both verbally and in writing
Job Type: Full-time
Salary: $120,000.00 - $175,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Employee assistance program
- Flexible schedule
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Relocation assistance
- Tuition reimbursement
- Vision insurance
Schedule:
- 8 hour shift
- Monday to Friday
Work Location: In person
Job Type: Full-time
Pay: $120,000.00 - $175,000.00 per year